Letizia Pitto
- Cancer Research top 5%
- MicroRNA in disease regulation 23
- Molecular Biology top 5%
- Congenital heart defects research 10
- Plant tissue culture and regeneration 10
- Epigenetics and DNA Methylation 6
- Plant Science top 5%
- Plant Molecular Biology Research 7
- Plant Genetic and Mutation Studies 5
- Biochemistry top 5%
- Biotechnology top 10%
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- Zebrafish Biomedical Research Applications 4
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- Telomeres, Telomerase, and Senescence 4
- Co-authors
- Giovanni GiulianoMonica EvangelistaGiuseppe RainaldiM. TerziLaura MarianiGiorgio IervasiMilena RizzoFrancesca Forini
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Letizia Pitto
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 414
- Molecular Biology 1.4k
- Plant Science 687
- Biochemistry 88
- Biotechnology 83
Countries citing papers authored by Letizia Pitto
This map shows the geographic impact of Letizia Pitto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Letizia Pitto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Letizia Pitto more than expected).
Fields of papers citing papers by Letizia Pitto
This network shows the impact of papers produced by Letizia Pitto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Letizia Pitto. The network helps show where Letizia Pitto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Letizia Pitto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 12 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 0 | |
| 9 | 2018 | 9 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2014 | 42 | |
| 13 | 2012 | 58 | |
| 14 | 2010 | 26 | |
| 15 | 2007 | 38 | |
| 16 | 2007 | 35 | |
| 17 | 1998 | 31 | |
| 18 | 1996 | 7 | |
| 19 | 1995 | 44 | |
| 20 | 1989 | 228 |
About Letizia Pitto
Letizia Pitto is a scholar working on Cancer Research, Molecular Biology and Plant Science, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (23 papers), Congenital heart defects research (10 papers), Plant tissue culture and regeneration (10 papers), Plant Molecular Biology Research (7 papers), Epigenetics and DNA Methylation (6 papers), Plant Genetic and Mutation Studies (5 papers), Zebrafish Biomedical Research Applications (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Cancer Research (414 citations), Molecular Biology (1.4k citations) and Plant Science (687 citations). Letizia Pitto has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giovanni Giuliano, Monica Evangelista, Giuseppe Rainaldi, M. Terzi, Laura Mariani, Giorgio Iervasi, Milena Rizzo, Francesca Forini, Giuseppina Nicolini and Federico Cremisi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.